Regression measure defined as $$ \sum_{i=1}^n \left( t_i - r_i \right)^2. $$

sse(truth, response, ...)

Arguments

truth

:: numeric()
True (observed) values. Must have the same length as response.

response

:: numeric()
Predicted response values. Must have the same length as truth.

...

:: any
Additional arguments. Currently ignored.

Value

Performance value as numeric(1).

Meta Information

  • Type: "regr"

  • Range: \([0, \infty)\)

  • Minimize: TRUE

  • Required prediction: response

See also

Other Regression Measures: bias(), ktau(), mae(), mape(), maxae(), maxse(), medae(), medse(), mse(), msle(), pbias(), rae(), rmse(), rmsle(), rrse(), rse(), rsq(), sae(), smape(), srho()

Examples

set.seed(1) truth = 1:10 response = truth + rnorm(10) sse(truth, response)
#> [1] 5.658606